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https://github.com/team2059/Dent
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Added edge detection and added to the display output
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28
vision.cpp
28
vision.cpp
@ -1,5 +1,8 @@
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#include "cv.h"
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#include "highgui.h"
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using namespace std;
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using namespace cv;
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IplImage* GetThresholdedImage(IplImage* img){
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// Convert the image into an HSV image
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IplImage* imgHSV = cvCreateImage(cvGetSize(img), 8, 3);
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@ -11,6 +14,24 @@ IplImage* GetThresholdedImage(IplImage* img){
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cvReleaseImage(&imgHSV);
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return imgThreshed;
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}
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IplImage* GetImageEdges(IplImage *img){
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const int lowerEdgeThresh = 10;
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const int editRatio = 3;
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Mat org, dst;
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//Convert the IplImage to a mat
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org = img;
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//Blur the image "org" and output it to dst
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GaussianBlur(org,dst,Size(5,5),0,0);
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//Copy dst to org to keep naming correct
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org = dst;
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//Use canny to find edges
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Canny(org,dst,lowerEdgeThresh,lowerEdgeThresh*3,3);
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//Convert the Mat back to an image
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img->imageData = (char *) dst.data;
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return img;
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}
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int main()
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{
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// Initialize capturing live feed from the camera
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@ -23,7 +44,6 @@ int main()
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printf("Could not initialize capturing...");
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return -1;
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}
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cvNamedWindow("video");
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cvNamedWindow("thresh");
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while(true){
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// Will hold a frame captured from the camera
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@ -35,10 +55,8 @@ int main()
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// If this is the first frame, we need to initialize it
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// Holds the yellow thresholded image (yellow = white, rest = black)
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IplImage* imgYellowThresh = GetThresholdedImage(frame);
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cvShowImage("thresh", imgYellowThresh);
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cvShowImage("video", frame);
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//Display the image after getting the edges of the yellowThresholded image
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cvShowImage("thresh", GetImageEdges(imgYellowThresh));
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// Quit on keypress
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int c = cvWaitKey(10);
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if(c!=-1){
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